Be introduced to the Artificial Neural Network (ANN) and develop a Deep Neural Network (DNN) framework from scratch, then apply it to classification and recommendation systems.
Machine Learning models constructed with Deep Neural Networks have gained tremendous momentum over the years, and the complexities associated with their design, training, and deployment is a valuable skill for today’s Machine Learning Engineer.
Students completing this third course in the Machine Learning certificate program will gain a working knowledge of the simplest Artificial Neural Network (the Perceptron) and build up a functional framework from scratch in Python to implement feed forward, loss minimization, back propagation, and optimizations. The framework will then be applied to solving complex mathematical functions as well as to classification and recommendation systems, and later extended to specialized algorithms such as Convolutional Neural Networks.
What You Will Learn
- Implementation and applications of simple a Artificial Neural Network (ANN), i.e. the Perceptron.
- Deep Neural Network (DNN) framework creation from scratch in Python.
- Biological neuron model emulation with single and multi-layer Perceptrons.
- Multi-node and multi-layer DNN’s applications to solve mathematical and classification problems.
- Optimizations and Hyperparameters applied to DNNs.
- Convolutional Neural Networks (CNN) applications to image processing.
Return to the Futures website
here.
Course Number: CSE-90161
Credit: 3.00 unit(s)
+ Expand All
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7/31/2023 - 8/20/2023
$350
Online
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CLASS TYPE:
Online Asynchronous.
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
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TEXTBOOKS:
No information available at this time.
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POLICIES:
No refunds after: 7/24/2023.
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7/31/2023 - 8/20/2023
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
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3/27/2024 - 6/5/2024
$350
Online
-
-
-
CLASS TYPE:
Online Asynchronous.
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
-
TEXTBOOKS:
No information available at this time.
-
POLICIES:
Early enrollment advised.
No UCSD parking permit required.
No visitors permitted.
Pre-enrollment required.
No refunds after: 3/20/2023.
-
3/27/2024 - 6/5/2024
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Pre-College Programs department at 858-534-0804 or precollege@ucsd.edu for information about when this course will be offered again.